Fall risk stratification of community-living older people. Commentary on the world guidelines for fall prevention and management
- Topic Group on “Falls among the elderly” of the ITU/WHO Focus Group “Artificial Intelligence for Health”,,
- Jose Albites-Sanabria(Author),
- Barry R. Greene(Author),
- Killian McManus(Author),
- Luca Palmerini(Author),
- Pierpaolo Palumbo(corresponding author)(Author)
- ,
- Linus Health Europe Ltd,
- UCD,
- University of Bologna,
- Fraunhofer Portugal AICOS,
- University of New South Wales
Research Output:
Contribution to journal
Review article
Peer-review
Open access
Publication Information
Output type
Research Output:
Contribution to journal
Review article
Peer-reviewOriginal language
EnglishArticle number
afad162Journal (Volume, Issue Number)
Age and ageing (Volume 52, Issue 10)Publication milestones
- Published - 01/10/2023
Publication status
Published - 01/10/2023
ISSN
0002-0729Publication IDs
- Scopus: 85175275818
- PubMed: 37897807
Abstract
The Task Force on Global Guidelines for Falls in Older Adults has put forward a fall risk stratification tool for community-dwelling older adults. This tool takes the form of a flowchart and is based on expert opinion and evidence. It divides the population into three risk categories and recommends specific preventive interventions or treatments for each category. In this commentary, we share our insights on the design, validation, usability and potential impact of this fall risk stratification tool with the aim of guiding future research.
Funding Details
PP was partially funded by the Italian National Institute for Insurance against Accidents at Work (INAIL) under the MOTU++ project (PR19-PAIP2) and by the GATEKEEPER Consortium (European Union’s Horizon 2020 research and innovation program, grant agreement No 857223) under the FHIRing SHARE Data project. KS was supported by a Human Frontier Science Program Fellowship (LT001080/2017). The funders had no role in this study.
FundersFunding numbers
GATEKEEPER Consortium
-Italian National Institute for Insurance
-H2020
857223
HFSP
LT001080/2017
INAIL
PR19-PAIP2
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